{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.1　绘制等高线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# 计算高度\n",
    "def calcu_elevation(x1, y1):\n",
    "    h = (1-x1/2  + x1 ** 5 + y1 ** 3)  * np.exp(-x1** 2 - y1** 2)\n",
    "    return h\n",
    "n = 256\n",
    "x = np.linspace(-2, 2, n)\n",
    "y = np.linspace(-2, 2, n)\n",
    "# 利用 meshgrid() 函数生成网格数据\n",
    "x_grid, y_grid = np.meshgrid(x, y)\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "# 绘制等高线\n",
    "con = ax.contour(x_grid, y_grid, calcu_elevation(x_grid, y_grid), 8, colors='black')\n",
    "# 填充等高线的颜色\n",
    "ax.contourf(x_grid, y_grid, calcu_elevation(x_grid, y_grid), 8, alpha=0.75, cmap=plt.cm.copper)\n",
    "# 为等高线添加文字标签\n",
    "ax.clabel(con, inline=True, fmt='%1.1f', fontsize=10)\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.2　绘制矢量场流线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "y, x = np.mgrid[0:5:50j, 0:5:50j]\n",
    "u = x\n",
    "v = y\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "# 绘制矢量场流线图\n",
    "ax.streamplot(x, y, u, v)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.3　绘制棉棒图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "x = np.arange(1, 16)\n",
    "y = np.array([5.9, 6.2, 6.7, 7.0, 7.0, 7.1, 7.2, 7.4, \n",
    "              7.5, 7.6, 7.7, 7.7, 7.7, 7.8, 7.9])\n",
    "labels = np.array(['宝骏310', '宝马i3', '致享', '焕驰', '力帆530', \n",
    "                   '派力奥', '悦翔V3', '乐风RV', '奥迪A1', '威驰FS', \n",
    "                   '夏利N7', '启辰R30', '和悦A13RS', '致炫', '赛欧'])\n",
    "fig = plt.figure(figsize=(10, 6), dpi= 80)\n",
    "ax = fig.add_subplot(111)\n",
    "# 绘制棉棒图\n",
    "markerline, stemlines, baseline = ax.stem(x, y, linefmt='--', \n",
    "                                          markerfmt='o', label='TestStem', use_line_collection=True)\n",
    "# 设置棉棒图线段的属性\n",
    "plt.setp(stemlines, lw=1)\n",
    "ax.set_title('不同品牌轿车的燃料消耗量', fontdict={'size':18})\n",
    "ax.set_ylabel('燃料消耗量(L/km)')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels, rotation=60)\n",
    "ax.set_ylim([0, 10])\n",
    "for temp_x, temp_y in zip(x, y):\n",
    "    ax.text(temp_x, temp_y + 0.5, s='{}'.format(temp_y), ha='center', va='bottom', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.4　绘制哑铃图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.lines as mlines\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "df = pd.read_excel(r\"C:\\Users\\admin\\Desktop\\health.xlsx\")\n",
    "df.sort_values('pct_2014', inplace=True)\n",
    "df.reset_index(inplace=True)\n",
    "df = df.sort_values(by=\"index\")\n",
    "def newline(p1, p2, color='black'):\n",
    "    ax = plt.gca()     # 获取当前的绘图区域\n",
    "    l = mlines.Line2D([p1[0], p2[0]], [p1[1],p2[1]], color='skyblue')\n",
    "    ax.add_line(l)\n",
    "    return l\n",
    "fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n",
    "# 绘制散点\n",
    "ax.scatter(y=df['index'], x=df['pct_2013'], s=50, color='#0e668b', alpha=0.7)\n",
    "ax.scatter(y=df['index'], x=df['pct_2014'], s=50, color='#a3c4dc', alpha=0.7)\n",
    "# 绘制线条\n",
    "for i, p1, p2 in zip(df['index'], df['pct_2013'], df['pct_2014' ]):\n",
    "    newline([p1, i], [p2, i])\n",
    "ax.set_title(\"2013年与2014年美国部分城市人口PCT指标的变化率\", fontdict={'size':12})\n",
    "ax.set_xlim(0, .25)\n",
    "ax.set_xticks([.05, .1, .15, .20])\n",
    "ax.set_xticklabels(['5%', '10%', '15%', '20%'])\n",
    "ax.set_xlabel('变化率')\n",
    "ax.set_yticks(df['index'])\n",
    "ax.set_yticklabels(df['city'])\n",
    "ax.grid(alpha=0.5, axis='x')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.5　绘制甘特图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "ticks = np.array(['报告提交', '数据分析', '数据录入', '实地执行', \n",
    "                  '问卷确定', '试访', '问卷设计', '项目确定'])\n",
    "y_data = np.arange(1, 9)\n",
    "x_data = np.array([0.5, 1.5, 1, 3, 0.5, 1, 1, 2])\n",
    "fig,ax = plt.subplots(1, 1)\n",
    "ax.barh(y_data, x_data, tick_label=ticks, left=[7.5, 6, 5.5, 3, 3, 2, 1.5, 0], color='#CD5C5C') \n",
    "[ax.spines[i].set_visible(False) for i in ['top', 'right']]\n",
    "ax.set_title(\"任务甘特图\")\n",
    "ax.set_xlabel(\"日期\")\n",
    "ax.grid(alpha=0.5, axis='x')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.6　绘制人口金字塔图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\population.xlsx')\n",
    "df_male = df.groupby(by='Gender').get_group('Male')\n",
    "list_male = df_male['Number'].values.tolist()      #  将ndarray 转换为 list\n",
    "df_female = df.groupby(by='Gender').get_group('Female')\n",
    "list_female = df_female['Number'].values.tolist()  # 将ndarray 转换为 list\n",
    "df_age = df.groupby('AgeGroup').sum()\n",
    "count = df_age.shape[0]\n",
    "y = np.arange(1, 11)\n",
    "labels = []\n",
    "for i in range(count):\n",
    "    age = df_age.index[i]\n",
    "    labels.append(age)\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "# 绘制人口金字塔图\n",
    "ax.barh(y, list_male, tick_label=labels, label=' 男', color='#6699FF') \n",
    "ax.barh(y, list_female, tick_label=labels, label=' 女', color='#CC6699')\n",
    "ax.set_ylabel(\"年龄段（岁）\")\n",
    "ax.set_xticks([-100000, -75000, -50000, -25000, 0, 25000, 50000, 75000, 100000])\n",
    "ax.set_xticklabels(['100000', '75000', '50000', '25000', \n",
    "                    '0', '25000', '50000', '75000', '100000'])\n",
    "ax.set_xlabel(\"人数（个）\")\n",
    "ax.set_title('某城市人口金字塔')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.7　绘制漏斗图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "num = 5\n",
    "height = 0.5\n",
    "x1 = np.array([1000, 500, 300, 200, 150])    # 各环节的客户数量\n",
    "x2 = np.array((x1.max() - x1) / 2)\n",
    "x3 = [i +j for i, j in zip(x1, x2)]\n",
    "x3 = np.array(x3)\n",
    "y = -np.sort(-np.arange(num))               # 倒转y轴\n",
    "labels=['访问商品', '加购物车', '生成订单', '支付订单', '完成交易']\n",
    "fig = plt.figure(figsize=(10, 8))\n",
    "ax = fig.add_subplot(111)\n",
    "# 绘制条形图\n",
    "rects1 = ax.barh(y, x3, height, tick_label=labels, color='g', alpha=0.5)\n",
    "# 绘制辅助条形图\n",
    "rects2 = ax.barh(y, x2, height, color='w', alpha=1) \n",
    "ax.plot(x3, y, 'black', alpha=0.7)\n",
    "ax.plot(x2, y, 'black', alpha=0.7)\n",
    "# 添加无指向型注释文本\n",
    "notes = []\n",
    "for i in range(0, len(x1)):\n",
    "    notes.append('%.2f%%'%((x1[i] / x1[0]) * 100))\n",
    "for rect_one, rect_two, note in zip(rects1, rects2, notes):\n",
    "    text_x = rect_two.get_width() + (rect_one.get_width() - rect_two.get_width()) / 2 - 30\n",
    "    text_y = rect_one.get_y() + height / 2\n",
    "    ax.text(text_x, text_y, note, fontsize=12)\n",
    "# 隐藏轴脊和刻度\n",
    "ax.set_xticks([])\n",
    "for direction in ['top', 'left', 'bottom', 'right']:\n",
    "    ax.spines[direction].set_color('none')\n",
    "ax.yaxis.set_ticks_position('none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.8　绘制桑基图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.sankey import Sankey\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False\n",
    "# 消费收入与支出数据\n",
    "flows = [0.7, 0.3, -0.3, -0.1, -0.3, -0.1, -0.1, -0.1]\n",
    "# 流的标签列表\n",
    "labels = [\"工资\", \"副业\", \"生活\", \"购物\", \"深造\", \"运动\", \"其他\", \"买书\"]\n",
    "# 流的方向\n",
    "orientations = [1, 1, 0, -1, 1, -1, 1, 0]\n",
    "# 创建 Sankey 类对象\n",
    "sankey = Sankey()\n",
    "# 为桑基图添加数据\n",
    "sankey.add(flows=flows,                     # 收入与支出数据\n",
    "           labels=labels,                   # 数据标签\n",
    "           orientations=orientations,       # 标签显示的方向\n",
    "           color=\"black\",                   # 边缘线条颜色\n",
    "           fc=\"lightgreen\",                 # 填充颜色\n",
    "           patchlabel=\"生活消费 \",          # 图表中心的标签\n",
    "           alpha=0.7)                       # 透明度\n",
    "# 桑基图绘制完成的对象\n",
    "diagrams = sankey.finish()\n",
    "diagrams[0].texts[4].set_color(\"r\")         # 将下标为 4 的数据标签设为红色\n",
    "diagrams[0].texts[4].set_weight(\"bold\")     # 将下标为 4 的数据标签设为字体加粗\n",
    "diagrams[0].text.set_fontsize(20)           # 将中心标签的字体大小设为20\n",
    "diagrams[0].text.set_fontweight(\"bold\")     # 将中心标签的字体设为加粗\n",
    "plt.title(\"日常生活开支的桑基图\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.9　绘制树状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Dimensions of Z and labels must be consistent.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-46-e722e485c701>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"美国各州犯罪案件的树状图\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m12\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;31m# 绘制树状图\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m dend = shc.dendrogram(shc.linkage(df[['Murder', 'Assault', 'UrbanPop']], method='ward'), \n\u001b[0m\u001b[0;32m     11\u001b[0m                       labels=df.State.values.all(), color_threshold=100)\n\u001b[0;32m     12\u001b[0m \u001b[1;31m# plt.xticks(fontsize=10.5)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\cluster\\hierarchy.py\u001b[0m in \u001b[0;36mdendrogram\u001b[1;34m(Z, p, truncate_mode, color_threshold, get_leaves, orientation, labels, count_sort, distance_sort, show_leaf_counts, no_plot, no_labels, leaf_font_size, leaf_rotation, leaf_label_func, show_contracted, link_color_func, ax, above_threshold_color)\u001b[0m\n\u001b[0;32m   3276\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3277\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mZ\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3278\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dimensions of Z and labels must be consistent.\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3279\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3280\u001b[0m     \u001b[0mis_valid_linkage\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mZ\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mthrow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'Z'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Dimensions of Z and labels must be consistent."
     ]
    },
    {
     "data": {
      "image/png": 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v0HyN7n53kkOr6qVJXpfk5d29p3cZAQDgALDh9+mcLxw6NclX5vf9XZfD6wAA396q6tLu3uOdjPZkw99ybH5P39du9HYBANi8NvqcTgAA+CaiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABguKWis6rOqKqLqur1VXXUHsY9v6reUlXvrqqHbtw0AQDYzNaNzqo6JckJSY5PcmaS03cz7vZJbtfdJya5b5KzN26aAABsZsusdJ6c5PzuvjrJBZkCdC2fS7J9Xgm9a5KP7m6DVXVaVe1c+bj88sv3dt4AAGwiy0TnkUkuSZLu7iRH7Gbcp5K8O8njkzwyyUt3t8HuPqu7t698bNu2be9mDQDAprJliTGXZdfQ3LqbcT+b5APdfU6SVNXbqurN3f2p6zlHAAA2uWVWOi9Mcp8kqarjkuzuWPgRSe5YVQdV1TFJjkty1UZMEgCAzW2Z6HxdkntW1dlJXpXknKraUVU7Vo37oyQ3TfKFJO9K8vzu/szGTRUAgM1q3cPr3f3VqrpnklOT/HF3X7ibcV9M8qANnh8AAPuBZc7pTHdfkeTVg+cCAMB+yjsSAQAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMt1R0VtUZVXVRVb2+qo5aZ+xtq+o9VXXoxkwRAIDNbt3orKpTkpyQ5PgkZyY5fQ9jtyb5wyS/1N1XbtQkAQDY3JZZ6Tw5yfndfXWSCzIF6O48Z/7vvavqNtd3cgAA7B+Wic4jk1ySJN3dSY5Ya1BV3TrJjiSPS/KaJOfvLjyr6rSq2rnycfnll1+XuQMAsEksE52XZdfQ3LqbcXdK8obufl93fzzJm5KcuNbA7j6ru7evfGzbtm2vJg0AwOayTHRemOQ+SVJVxyXZ3bLkh5IcV1UHV9WWJPdIcvGGzBIAgE1tmeh8XZJ7VtXZSV6V5Jyq2lFVOxYHdfeH5rHvSPL3Sf4u0zmgAAAc4Go6TXOdQVU3SHJqkp3dfeFGT2L79u29c+fOjd4sAAAbpKou7e7t1/X5W5YZ1N1XJHn1dX0RAAAObN6RCACA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwS0VnVZ1RVRdV1eur6qglxj++qs673rMDAGC/sG50VtUpSU5IcnySM5Ocvs74Y5M8e0NmBwDAfmGZlc6Tk5zf3VcnuSBTgK6pqrYkeWnWD9PTqmrnysfll1++N3MGAGCTWSY6j0xySZJ0dyc5Yg9jfzPJ65K8f08b7O6zunv7yse2bduWnS8AAJvQMtF5WXYNza1rDaqq45PcLclZGzAvAAD2I8tE54VJ7pMkVXVckt0dC39YkptmOgR/dpIHVNWzNmCOAABscjUdMd/DgKrDkrwjyVuSnJTkJUmuSJLuPm83zzkpyY7u3rHMJLZv3947d+5cbsYAAOxzVXVpd2+/zs9fLzrnF7lBklOT7OzuC6/ri+2O6AQA+PZ2faNzyzKDuvuKJK++ri8CAMCBzTsSAQAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMt1R0VtUZVXVRVb2+qo7aw7jfraq3VdW7q+pJGzdNAAA2s3Wjs6pOSXJCkuOTnJnk9N2Mu3OSw7v7Xknuk+RZVXXwBs4VAIBNassSY05Ocn53X11VFyQ5Z61B3f3eJO+df3uTJJ/v7qs2ZpoAAGxmyxxePzLJJUnS3Z3kiD0NrqpK8oIkz9jDmNOqaufKx+WXX74XUwYAYLNZJjovy66huXWd8c9Mckl3n7+7Ad19VndvX/nYtm3bEtMAAGCzWiY6L8x0jmaq6rgku12WrKonJrlDEhcRAQBwjZqOmO9hQNVhSd6R5C1JTkrykiRXJEl3n7cw7rgkH0lyUZIr54cf3t2XrjeJ7du3986dO/d+9gAA7BNVdWl3b7+uz1/3QqLu/mpV3TPJqUn+uLsv3M24j8Z9PwEAWMMyV6+nu69I8urBcwEAYD9lZRIAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcKITAIDhRCcAAMOJTgAAhhOdAAAMJzoBABhOdAIAMJzoBABgONEJAMBwohMAgOFEJwAAw4lOAACGE50AAAwnOgEAGE50AgAwnOgEAGA40QkAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAYTnQCADCc6AQAYDjRCQDAcEtFZ1WdUVUXVdXrq+qoPYx7SFW9v6reWlV337hpAgCwmW1Zb0BVnZLkhCTHJzkpyelJfnGNcTdLcnaSH05ydZI/T3K3jZsqAACb1brRmeTkJOd399VVdUGSc3Yz7oQkb+3uzyRJVX22qr67uy9ZPbCqTkty2sJDV1fVJ/dy7mxe25Jc/q2eBPuM/X1gsb8PLPb3geXo6/PkZaLzyCSXJEl3d1Udsd642ReS3GLVY5m3c1aSs1Z+X1U7u3v7knNmk7O/Dyz294HF/j6w2N8HlqraeX2ev8w5nZclWQzNrUuO25KkruO8AADYjywTnRcmuU+SVNVx2f0y+ruTnFiTgzOdz/mJjZgkAACb2zKH11+X5GlVdXamC4nOqaodSdLd560M6u5PVtV7krx63u47u3vZ8zTPWn8I+xH7+8Bifx9Y7O8Di/19YLle+7u6e/1BVTdIcmqSnd194TpjfyzJ4Un+rLuvuj6TAwBg/7BUdAIAwPXhHYkAABhOdAIAMNw+i05vpXlg2Yv9/btV9baqendVPWlfzpGNs+z+Xhj/+Ko6bx9MjQH2Zn9X1W2r6j1Vdei+mh8bay9+nj+/qt4y/zx/6L6cIxunqg6Z9/VJ64z75ap6X1W9uaqOXWbb+yQ6V72V5pmZ3kpzrXErb6V53yQ/kd2/+xHfxvZif985yeHdfa9Mt+V61ny7LTaRZff3wvhjkzx7H0yNAfZmf1fV1iR/mOSXuvvKfTNDNtJe/Dy/fZLbdfeJmf4ffva+miMbZ/47+7ok37XOuDsk+ZUk98j01uhL9dq+Wum85q00k1yQ6Q/wWq55K83u/lySz1bVd++jObJxltrf3f3e7l5Z3bxJks+748GmtOzf71TVliQvzTphyre1pfd3kufM/713Vd1m+MwYYdn9/bkk2+eV0Lsm+eg+mh8b7xeSXLTOmPsm+dPuvqK7/ynJLZZZNNpX0bnLW2lm13cuWnPc7AuZ3kqTzWXZ/Z0kqapK8oIkzxg/NQbYm/39m5n+Ff3+fTAvxlhqf1fVrZPsSPK4JK9Jcr7w3JSW/fv9qUxvEvP4JI/M9I9LNpnu/lp3X7rE0NW99pUk655atczN4TeCt9I8sCy7v1c8M8kl3X3+uCkx0FL7u6qOz/ROZQ9M8qP7YF6Msezf7zsleUN3vy9JqupNSU5M8pGhs2OjLbu/fzbJB7r7nCSZz9V/c3d/avQE+Za4Tr22r1Y6vZXmgWXZ/Z2qemKSOyRxEdHmtez+fliSm2Y6RHd2kgdU1bP2xQTZUMvu7w8lOa6qDp5Pq7hHkov3zRTZQMvu7yOS3LGqDqqqY5Icl8TpUvuvxT8XN0xyTJJPr/ekfXJz+Ko6LMk7krwl01tpviTJFcmub6U5jz030/l9W5Jc2d0PHz5BNtSy+3v+AfaRTOeOrFxk8PAll/b5NrE3f78XnnNSkh3dvWMfTJENtJc/z5+e5MGZDsX9VZIntXck2VT24uf5DZO8ItNRjCuSnNndz9/H02WDzHcXOa+7/7qqnpbkfd39hlVj/jLTIfZjM731+VPX3e6++vvvrTQPLHuzv9n87O8Di/19YLG/Wct8RPrUJF/p7jcu9Rz/6AQAYDTvSAQAwHCiEwCA4UQnAADDiU4AAIYTnQAADCc6AQAY7v8DVBLN94yCiTgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.cluster.hierarchy as shc\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\USArrests.xlsx')\n",
    "plt.figure(figsize=(10, 6), dpi= 80)\n",
    "plt.title(\"美国各州犯罪案件的树状图\", fontsize=12)\n",
    "# 绘制树状图\n",
    "dend = shc.dendrogram(shc.linkage(df[['Murder', 'Assault', 'UrbanPop']], method='ward'), \n",
    "                      labels=df.State.values, color_threshold=100)\n",
    "plt.xticks(fontsize=10.5)\n",
    "plt.ylabel('案例数量(个)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8.10　绘制华夫饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Waffle size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from pywaffle import Waffle\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "# 绘制华夫饼图\n",
    "plt.figure(FigureClass=Waffle, rows=10, columns=10, \n",
    "           values=[95, 5],vertical=True, colors=['#20B2AA', '#D3D3D3'], \n",
    "           title={'label': '电影《少年的你》上座率'}, \n",
    "           legend={'loc': 'upper right', 'labels': ['占座', '空座']}\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
